Enterprise AI Engineer — GenAI, MLOps & AI Platforms

AIA; Hinoba-an; On-site; PHP 900,000 - 1,500,000; Full time

Job summary

AIA Hong Kong and Macau is seeking an experienced AI Engineering Consultant to drive the design, development, deployment, and operationalization of enterprise AI solutions across the organization, including Generative AI, agentic AI, and AI-powered digital solutions.

You will partner with stakeholders, architects, and engineering teams to turn AI concepts into scalable production-grade systems, establish AI engineering standards, and build reusable frameworks and accelerators that enable

Qualifications

• Bachelor's degree in CS/AI/SE/Math/Stats/Data Science or related.
• 5+ years in AI/ML engineering, data engineering, or software engineering.
• 3+ years deploying AI/ML solutions into production environments.
• Proven experience delivering GenAI, MLOps, or AI platform solutions.

Responsibilities

• Design, develop, and deploy enterprise-scale AI and Generative AI solutions that solve complex business challenges.
• Develop reusable AI services, APIs, SDKs, and accelerators to accelerate AI adoption across business units.
• Conduct evaluations, benchmarking, and optimization of AI models, prompts, and agentic workflows.
• Develop integrations between AI agents and enterprise applications, APIs, databases, and business processes.
• Design and implement enterprise AI engineering platforms and MLOps frameworks.

Skills

AI/ML production deployment

GenAI & AI governance

Stakeholder collaboration

Problem solving

Education

Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, Statistics, Mathematics, Data Science, or related disciplines

Tools

Python

Azure

Databricks

Kubernetes

Job description

AIA Hong Kong and Macau is seeking an experienced AI Engineering Consultant to drive the design, development, deployment, and operationalization of enterprise AI solutions across the organization, including Generative AI, agentic AI, and AI-powered digital solutions.

You will partner with stakeholders, architects, and engineering teams to turn AI concepts into scalable production-grade systems, establish AI engineering standards, and build reusable frameworks and accelerators that enable